To the Noise and Back: Diffusion for Shared Autonomy

no code implementations • 23 Feb 2023 • Takuma Yoneda, Luzhe Sun, and Ge Yang, Bradly Stadie, Matthew Walter

Traditional approaches to shared autonomy rely on knowledge of the environment dynamics, a discrete space of user goals that is known a priori, or knowledge of the user's policy -- assumptions that are unrealistic in many domains.

Continuous Control Reinforcement Learning (RL)

Towards Quantum Graph Neural Networks: An Ego-Graph Learning Approach

no code implementations • 13 Jan 2022 • Xing Ai, Zhihong Zhang, Luzhe Sun, Junchi Yan, Edwin Hancock

The architecture is based on a novel mapping from real-world data to Hilbert space.

BIG-bench Machine Learning Graph Learning +2